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I need all tests to be done using SPSS. some questions require results interpretation following APA style.
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The spss output and syntax files for both the questions
I have some minor changes due to typing errors, included an additional command in syntax of Q2 and collected everything at one place:Consider this to download:
Running Head: MULTIPLE REGRESSION ANALYSIS
Multiple Regression Analysis
Student Name:
Course Name:
Instructor Name:
Institute Name:
Date
MULTIPLE REGRESSION ANALYSIS
1
Multiple Regression Analysis
Multiple regression analysis is conceptually an extension of linear regression
analysis and is used when the value of a variable is predicted based on the values of two
or more other variables. The variable which is to be predicted is called the dependent
variable (also known as the target variable), and the variables upon which this predicted
variable is dependent upon are called the independent.
Analysis of Question 1: Pain study Dataset
Description of Dataset:
A clinical psychologist randomly selected a sample of 16-college students to
identify the relationship between self-reports of pain with noxious stimulus. The dataset
includes the pain, hypnosis level, and susceptibility to the suggestion of the students
who participated in the study.
The dataset is as follows:
Table 1: Pain Study Data
Id
Pain
Hypnosis
susceptibility
1
29
8
4
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
22
37
33
41
32
42
28
18
38
22
30
38
34
27
28
5
9
4
8
6
9
6
3
7
4
7
9
5
4
7
3
5
2
4
3
5
2
1
3
4
5
4
3
2
4
MULTIPLE REGRESSION ANALYSIS
2
Descriptive statistics of Dataset:
Table 2: Descriptive statistics of the pain study data
N
Minimum
Maximum
Mean
Std. Deviation
Pain
16
18
42
31.19
7.016
Hypnosis
16
3
9
6.31
1.991
Susceptibility
16
1
5
3.38
1.204
Valid N (listwise)
16
The descriptive statistics show that the average of the pain witnessed by the 16college students who participated in the study is 31.19, with a standard deviation of
7.016. The minimum and maximum observed pain is 18 and 42, respectively. The
average hypnosis level and susceptibility are 6.31 and 3.38.
Correlation between the variables :
Table 3: Correlations between variables
Pain
Pearson Correlation
Pain
Hypnosis
Susceptibility
1
.750**
.512*
.001
.043
Sig. (2-tailed)
Hypnosis
Susceptibility
N
16
16
16
Pearson Correlation
.750**
1
.782**
Sig. (2-tailed)
.001
N
16
16
16
Pearson Correlation
.512*
.782**
1
Sig. (2-tailed)
.043
.000
N
16
16
.000
16
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
The table above shows that the correlation between the pain and hypnosis level is 0.75
and the correlation between pain and susceptibility level is 0.512
MULTIPLE REGRESSION ANALYSIS
3
Regression Equation:
I) The line of best fit (Regression Line) depicting the relationship between pain and two
independent variable, namely hypnosis, and susceptibility in the suggestion in the raw
score form is given as:
𝑝𝑎𝑖𝑛
̂ = 14.941 + 3.172 𝑥 ℎ𝑦𝑝𝑛𝑜𝑠𝑖𝑠 − 1.119 𝑥 𝑠𝑢𝑠𝑐𝑒𝑝𝑡𝑖𝑏𝑖𝑙𝑖𝑡𝑦
Interpretation of the regression coefficients:
1. Every unit increment of hypnosis level score, there is an increment in pain by 3.172.
2. Every increment of a susceptibility score, there is ...